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Data Science In Healthcare Jobs in Indiana (NOW HIRING)

Elevance Health

Data Scientist Senior

Indianapolis, IN · On-site

PhD and experience in the healthcare sector preferred. Job Level: Non-Management Exempt Workshift: Job Family: RDA > Data Science Please be advised that Elevance Health only accepts resumes for ...

Eightelevengroup

GS - Data Science Pod

Indianapolis, IN · On-site

$109K - $131K/yr

Data Engineer, Data and Platform Engineering Hybrid Role (downtown Indy 3x / week) Compensation ... Experience in a regulated industry (healthcare, life sciences, or clinical research) is a plus.

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ... We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for ...

Warrant Technologies

Data Scientist III

Crane, IN · On-site

Additional Desired Experience · 10+ years' experience in data science. · TS/SCI eligibility preferred. · Experience with software integration or testing, including analyzing and implementing test ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

... data science project implementation highly preferred. * Experience managing a small team either through formal or informal reporting relationship preferred. * PhD and experience in the healthcare ...

Warrant Technologies

Data Scientist III

Crane, IN · On-site

The position requires 10 years of professional experience with data science. The Data Scientist III performs assigned work in accordance with Team quality, configuration-management, and security ...

WARRANT TECHNOLOGIES

Data Scientist III

Crane, IN · On-site

The position requires 10 years of professional experience with data science. The Data Scientist III performs assigned work in accordance with Team quality, configuration-management, and security ...

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All JobsData Science In Healthcare JobsData Science In Healthcare Jobs in Indiana

Data Science In Healthcare information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do data science in healthcare jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data science in healthcare in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

Can a data scientist work in healthcare?

Yes, data scientists can work in healthcare by analyzing medical data, developing predictive models, and improving patient outcomes. They often use tools like Python, R, and SQL, and may require knowledge of healthcare regulations such as HIPAA.

What is data science in healthcare?

Data science in healthcare involves analyzing large sets of medical and patient data to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in this field use tools like machine learning, statistical analysis, and data visualization to extract insights from electronic health records, medical imaging, and other health-related data sources.

What are popular job titles related to Data Science In Healthcare jobs in Indiana?

For Data Science In Healthcare jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Science In Healthcare jobs in Indiana look for?

The top searched job categories for Data Science In Healthcare jobs in Indiana are:

Data Science In Healthcare jobs near you
Infographic showing various Data Science In Healthcare job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Postdoctoral Fellow in Biostatistics & Health Data Science

Bloomington, IN • On-site

Indiana University
See more jobs at Indiana Universityexternal

$45K - $61K/yr

Full-time

Re-posted 4 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow in Biostatistics & Health Data Science
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Biostatistics
Campus
IU School of Medicine Indianapolis
Position Summary
Research Context & Opportunity-Modern healthcare increasingly depends on integrating data across hospitals, registries, cohorts, and public health systems. Yet semantic heterogeneity-differences in terminology, structure, and logic-remains a central barrier to reusability, interoperability, and reproducibility.
This postdoctoral position addresses a fundamental and timely research question:
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization?
We are particularly interested in:
  • LLM-driven systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS
  • Agent-based workflows that explain, refine, and adapt semantic mappings over time
  • Hybrid architectures that combine knowledge-grounded reasoning with flexible machine learning
  • Tools that reduce manual burden while preserving traceability and clinical interpretability

This position offers the opportunity to publish novel methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity.
The postdoctoral fellow will be based in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world data infrastructure.
  • Indiana University is home to one of the largest medical schools in the U.S., with extensive collaborations across informatics, clinical departments, and health systems (IU Health, Eskenazi Health, etc.).
  • Regenstrief Institute is internationally recognized for its leadership in data standards (e.g., LOINC), clinical data networks (e.g., Indiana Network for Patient Care), and health information infrastructure.
  • This environment supports both methodological research and operational implementation across state, national, and multi-institutional networks (e.g., NIH, OHDSI, PCORnet, ACT Network).

Our Team's Approach-
We are not a pure research group. We operate at the interface of research and health data operations, building methods that not only publish but also deploy. We handle real clinical and public health data problems where ambiguity, variation, and scale are the norm-not the exception.
We welcome postdocs who want to drive innovation while engaging deeply with practical, meaningful data challenges.
Responsibilities
  • Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment
  • Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping
  • Collaborate with national and multi-institutional initiatives in data integration and standardization
  • Support open-source tooling, reproducible pipelines, and standards-based approaches (e.g., OMOP, FHIR, UMLS)
  • Lead or support manuscript preparation and dissemination at top informatics and AI venues
  • Contribute to grant development and proposal writing

What We Offer-
  • A collaborative environment at the intersection of real-world data, applied AI, and translational science
  • Opportunities to work across academic, clinical, and public health settings
  • Mentorship and support toward independent research or career development in academia or industry
  • Competitive salary and benefits through Indiana University
  • A culture that values both scientific innovation and practical impact

The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine is the country's second largest allopathic medical school. Indianapolis consistently ranks high nationally on many of the "best places to live" lists and has an economy that is growing in the life sciences arena. In addition, it has always been one of the cities with the lowest cost of living. Carmel, Indy's northern neighbor, was recently named as the best mid-sized city in the country.
IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home to one of the largest concentrations of health sciences companies in the nation. Indianapolis has a sophisticated blend of charm and culture with a wonderful balance of business and leisure. The growing residential base is supported by rich amenities and quality of life - the city possesses a variety of professional sports, arts venues and outdoor recreation areas. Residents of this dynamic city, and surrounding suburbs, enjoy leading educational systems and top-ranked universities, paired with a diverse population. Indianapolis International Airport is a top-ranked international airport, being named "Best Airport in North America" by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocationThe search will continue until the positions are filled.
Basic Qualifications
Required Qualifications:
  • Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or a closely related area.
  • Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP.
  • Demonstrated working experience with healthcare data (e.g., EHR, clinical text, imaging, omics).
  • Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases).
  • Excellent written and oral communication skills, and ability to collaborate with multidisciplinary teams.

Department Contact for Questions
Professor Jiang Bian via email at: bianji@iu.edu
Additional Qualifications
Preferred Qualifications:
  • Experience with concept normalization, ontology mapping, or schema alignment
  • Familiarity with LLM agents, tool-augmented reasoning, or hybrid rules + LLM systems
  • Record of publications in relevant domains (informatics, machine learning, AI, knowledge representation)
  • Experience with multi-site data harmonization or federated data environments

Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02358-2026

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